Model: GEOtop v3.0

Compiler: gcc version 4.8.4 (Ubuntu 4.8.4-2ubuntu1~14.04.1) Processor: Intel(R) Core(TM) i7-5500U CPU @ 2.40GHz Author: Stefano Endrizzi (),Emanuele Cordano () Date: 25-11-2016

Name: ColdelaPorte

Description: Simulation 1D over the Col de la Porte dataset to test the capability of GEOotp to simulate snow depth, snow water equivalent, soil temperature.

Results published in:

First result with GEOtop v 2.0 are illustrated in the report XXX (Endrizzi et al. (2014) , supplemantary material). The following simulated variables have been tested against observations:

Simulation duration:

InitDateDDMMYYYYhhmm   = 01/01/1997 00:00
EndDateDDMMYYYYhhmm    = 31/12/2011 23:00

### Output:
PointOutputFile = "output-tabs/surface"

Observations:

Snow heigth mm, Snow Water Equivalent mm(NOT FOUND), T surface C, T soil 10cm C,T soil 20cm C,T soil 50cm C see Morin et al. (2012).

Winter 2001/2002

Here is a comparison plot:

Goodness of fit:

sim gof Psnow_under_canopy.mm. Prain_under_canopy.mm. Tsurface.C. snow_depth.mm. snow_water_equivalent.mm. Albedo tempz0010 tempz0020 tempz0050
obs MAE 0.02 0.03 0.00 0.00 0.00 0.00 0.00 0.00 0.00
obs RMSE 0.18 0.24 0.00 0.00 0.00 0.01 0.00 0.00 0.00
obs KGE 0.84 0.89 1.00 1.00 1.00 1.00 1.00 1.00 1.00
sim_1 MAE 0.04 0.09 1.77 45.53 20.64 0.07 0.88 0.89 0.64
sim_1 RMSE 0.28 0.44 2.73 67.38 27.11 0.10 1.48 1.30 1.01
sim_1 KGE 0.53 0.62 0.75 0.84 0.82 0.85 0.68 0.73 0.76
sim_2 MAE 0.05 0.11 2.55 42.79 17.41 0.27 0.59 0.72 0.71
sim_2 RMSE 0.27 0.50 3.84 68.66 21.39 0.37 1.05 1.08 0.93
sim_2 KGE 0.54 0.51 0.75 0.90 0.96 0.28 0.85 0.79 0.80
sim_3 MAE 0.05 0.11 2.55 42.79 17.41 0.27 0.59 0.72 0.71
sim_3 RMSE 0.27 0.50 3.84 68.66 21.39 0.37 1.05 1.08 0.93
sim_3 KGE 0.54 0.51 0.75 0.90 0.96 0.28 0.85 0.79 0.80
sim_4 MAE 0.05 0.11 1.93 35.66 16.85 0.07 0.93 0.95 0.67
sim_4 RMSE 0.34 0.50 2.72 58.18 24.02 0.10 1.58 1.36 0.96
sim_4 KGE 0.36 0.52 0.77 0.92 0.92 0.83 0.70 0.74 0.79
sim_5 MAE 0.05 0.11 1.96 32.75 15.86 0.07 0.92 0.94 0.66
sim_5 RMSE 0.34 0.50 2.88 53.19 23.34 0.11 1.56 1.34 0.94
sim_5 KGE 0.35 0.52 0.74 0.96 0.94 0.83 0.71 0.75 0.80
sim_6 MAE 0.05 0.11 2.12 33.01 17.50 0.07 0.92 0.93 0.64
sim_6 RMSE 0.35 0.50 3.21 52.25 25.18 0.11 1.56 1.33 0.93
sim_6 KGE 0.30 0.52 0.69 0.95 0.91 0.82 0.71 0.75 0.80
sim_7 MAE 0.04 0.11 1.97 53.33 25.45 0.07 0.88 0.90 0.62
sim_7 RMSE 0.30 0.50 2.88 78.68 30.72 0.10 1.48 1.28 0.97
sim_7 KGE 0.56 0.54 0.75 0.80 0.82 0.84 0.69 0.74 0.77
sim_8 MAE 0.05 0.11 1.96 32.75 15.86 0.07 0.92 0.94 0.66
sim_8 RMSE 0.34 0.50 2.88 53.19 23.34 0.11 1.56 1.34 0.94
sim_8 KGE 0.35 0.52 0.74 0.96 0.94 0.83 0.71 0.75 0.80

Winter 2002/2003

Here is a comparison plot:

Goodness of fit:

sim gof Psnow_under_canopy.mm. Prain_under_canopy.mm. Tsurface.C. snow_depth.mm. snow_water_equivalent.mm. Albedo tempz0010 tempz0020 tempz0050
obs MAE 0.03 0.05 0.00 0.00 0.00 0.00 0.00 0.00 0.00
obs RMSE 0.25 0.37 0.00 0.00 0.00 0.01 0.00 0.00 0.00
obs KGE 0.75 0.81 1.00 1.00 1.00 1.00 1.00 1.00 1.00
sim_1 MAE 0.07 0.13 1.59 41.62 33.77 0.07 1.45 1.41 0.90
sim_1 RMSE 0.40 0.61 2.09 70.42 40.76 0.12 2.36 2.11 1.33
sim_1 KGE 0.35 0.48 0.88 0.90 0.85 0.85 0.56 0.59 0.72
sim_2 MAE 0.07 0.14 1.82 35.17 32.94 0.23 0.85 1.02 0.92
sim_2 RMSE 0.34 0.66 2.57 60.59 41.72 0.32 1.23 1.36 1.18
sim_2 KGE 0.46 0.37 0.84 0.93 0.86 0.35 0.84 0.81 0.79
sim_3 MAE 0.07 0.14 1.82 35.17 32.94 0.23 0.85 1.02 0.92
sim_3 RMSE 0.34 0.66 2.57 60.59 41.72 0.32 1.23 1.36 1.18
sim_3 KGE 0.46 0.37 0.84 0.93 0.86 0.35 0.84 0.81 0.79
sim_4 MAE 0.08 0.15 1.92 42.58 31.85 0.07 1.43 1.39 0.87
sim_4 RMSE 0.45 0.67 2.65 73.21 38.24 0.12 2.34 2.06 1.25
sim_4 KGE 0.25 0.37 0.85 0.87 0.86 0.85 0.58 0.61 0.74
sim_5 MAE 0.08 0.15 1.87 42.80 30.10 0.07 1.39 1.35 0.84
sim_5 RMSE 0.45 0.67 2.59 74.92 35.98 0.12 2.27 2.00 1.20
sim_5 KGE 0.25 0.37 0.86 0.86 0.87 0.85 0.60 0.62 0.75
sim_6 MAE 0.08 0.15 1.85 42.42 29.76 0.07 1.39 1.34 0.84
sim_6 RMSE 0.45 0.67 2.56 74.95 35.42 0.12 2.26 1.98 1.19
sim_6 KGE 0.25 0.37 0.87 0.86 0.87 0.85 0.60 0.62 0.75
sim_7 MAE 0.07 0.15 1.80 52.91 71.13 0.07 1.49 1.45 1.00
sim_7 RMSE 0.40 0.68 2.50 89.37 82.87 0.10 2.51 2.23 1.51
sim_7 KGE 0.42 0.40 0.85 0.77 0.66 0.85 0.54 0.57 0.68
sim_8 MAE 0.08 0.15 1.87 42.80 30.10 0.07 1.39 1.35 0.84
sim_8 RMSE 0.45 0.67 2.59 74.92 35.98 0.12 2.27 2.00 1.20
sim_8 KGE 0.25 0.37 0.86 0.86 0.87 0.85 0.60 0.62 0.75

Winter 2003/2004

Here is a comparison plot:

Goodness of fit:

sim gof Psnow_under_canopy.mm. Prain_under_canopy.mm. Tsurface.C. snow_depth.mm. snow_water_equivalent.mm. Albedo tempz0010 tempz0020 tempz0050
obs MAE 0.04 0.04 0.00 0.00 0.00 0.00 0.00 0.00 0.00
obs RMSE 0.28 0.35 0.00 0.00 0.00 0.01 0.00 0.00 0.00
obs KGE 0.75 0.74 1.00 1.00 1.00 1.00 1.00 1.00 1.00
sim_1 MAE 0.08 0.10 1.43 66.56 46.90 0.09 0.94 0.95 0.60
sim_1 RMSE 0.43 0.55 1.99 91.80 52.41 0.14 1.66 1.49 0.99
sim_1 KGE 0.38 0.39 0.90 0.90 0.69 0.77 0.73 0.74 0.82
sim_2 MAE 0.08 0.11 1.61 57.29 34.45 0.18 0.96 1.09 0.93
sim_2 RMSE 0.41 0.57 2.33 83.30 39.74 0.27 1.60 1.56 1.27
sim_2 KGE 0.44 0.33 0.88 0.94 0.78 0.53 0.66 0.66 0.73
sim_3 MAE 0.08 0.11 1.61 57.29 34.45 0.18 0.96 1.09 0.93
sim_3 RMSE 0.41 0.57 2.33 83.30 39.74 0.27 1.60 1.56 1.27
sim_3 KGE 0.44 0.33 0.88 0.94 0.78 0.53 0.66 0.66 0.73
sim_4 MAE 0.09 0.11 1.68 64.22 41.68 0.09 0.96 0.97 0.58
sim_4 RMSE 0.48 0.58 2.41 88.85 47.61 0.14 1.69 1.49 0.93
sim_4 KGE 0.31 0.33 0.87 0.92 0.71 0.76 0.74 0.75 0.85
sim_5 MAE 0.09 0.11 1.66 62.61 40.29 0.09 0.96 0.97 0.58
sim_5 RMSE 0.48 0.58 2.38 86.67 46.15 0.14 1.69 1.49 0.93
sim_5 KGE 0.31 0.33 0.87 0.92 0.72 0.76 0.74 0.75 0.86
sim_6 MAE 0.09 0.11 1.66 61.65 39.60 0.09 0.97 0.98 0.59
sim_6 RMSE 0.48 0.58 2.37 85.53 45.38 0.14 1.70 1.50 0.94
sim_6 KGE 0.31 0.33 0.87 0.93 0.72 0.76 0.74 0.75 0.86
sim_7 MAE 0.08 0.12 1.64 104.51 88.34 0.08 0.85 0.86 0.50
sim_7 RMSE 0.45 0.58 2.34 147.32 93.54 0.11 1.50 1.33 0.83
sim_7 KGE 0.42 0.37 0.88 0.71 0.55 0.84 0.72 0.75 0.81
sim_8 MAE 0.09 0.11 1.66 62.61 40.29 0.09 0.96 0.97 0.58
sim_8 RMSE 0.48 0.58 2.38 86.67 46.15 0.14 1.69 1.49 0.93
sim_8 KGE 0.31 0.33 0.87 0.92 0.72 0.76 0.74 0.75 0.86

Winter 2004/2005

Here is a comparison plot:

Goodness of fit:

sim gof Psnow_under_canopy.mm. Prain_under_canopy.mm. Tsurface.C. snow_depth.mm. snow_water_equivalent.mm. Albedo tempz0010 tempz0020 tempz0050
obs MAE 0.03 0.04 0.00 0.00 0.00 0.00 0.00 0.00 0.00
obs RMSE 0.21 0.27 0.00 0.00 0.00 0.01 0.00 0.00 0.00
obs KGE 0.80 0.88 1.00 1.00 1.00 1.00 1.00 1.00 1.00
sim_1 MAE 0.06 0.10 1.36 89.82 43.49 0.07 1.24 1.11 0.79
sim_1 RMSE 0.32 0.46 1.90 140.73 58.60 0.13 2.23 1.81 1.27
sim_1 KGE 0.50 0.61 0.93 0.75 0.78 0.83 0.63 0.68 0.73
sim_2 MAE 0.06 0.11 1.70 84.29 39.49 0.12 0.71 0.80 0.78
sim_2 RMSE 0.32 0.50 2.45 135.89 58.18 0.18 1.35 1.29 1.07
sim_2 KGE 0.52 0.53 0.90 0.77 0.80 0.72 0.83 0.80 0.81
sim_3 MAE 0.06 0.11 1.70 84.29 39.49 0.12 0.71 0.80 0.78
sim_3 RMSE 0.32 0.50 2.45 135.89 58.18 0.18 1.35 1.29 1.07
sim_3 KGE 0.52 0.53 0.90 0.77 0.80 0.72 0.83 0.80 0.81
sim_4 MAE 0.07 0.11 1.72 93.94 43.76 0.07 1.22 1.09 0.75
sim_4 RMSE 0.35 0.51 2.47 146.20 58.95 0.13 2.22 1.77 1.18
sim_4 KGE 0.44 0.53 0.90 0.73 0.78 0.83 0.65 0.70 0.77
sim_5 MAE 0.07 0.11 1.69 99.36 47.94 0.07 1.21 1.08 0.74
sim_5 RMSE 0.35 0.51 2.41 154.36 63.80 0.13 2.18 1.75 1.16
sim_5 KGE 0.44 0.53 0.90 0.71 0.76 0.83 0.66 0.71 0.78
sim_6 MAE 0.07 0.11 1.68 99.98 48.91 0.07 1.21 1.08 0.74
sim_6 RMSE 0.35 0.51 2.38 155.88 65.27 0.13 2.18 1.75 1.16
sim_6 KGE 0.44 0.53 0.91 0.71 0.76 0.83 0.66 0.72 0.78
sim_7 MAE 0.06 0.11 1.69 44.04 39.06 0.06 1.18 1.05 0.73
sim_7 RMSE 0.32 0.51 2.41 79.29 48.12 0.09 2.04 1.62 1.14
sim_7 KGE 0.56 0.58 0.90 0.92 0.74 0.88 0.60 0.67 0.73
sim_8 MAE 0.07 0.11 1.69 99.36 47.94 0.07 1.21 1.08 0.74
sim_8 RMSE 0.35 0.51 2.41 154.36 63.80 0.13 2.18 1.75 1.16
sim_8 KGE 0.44 0.53 0.90 0.71 0.76 0.83 0.66 0.71 0.78

Winter 2005/2006

Here is a comparison plot:

Goodness of fit:

sim gof Psnow_under_canopy.mm. Prain_under_canopy.mm. Tsurface.C. snow_depth.mm. snow_water_equivalent.mm. Albedo tempz0010 tempz0020 tempz0050
obs MAE 0.03 0.04 0.00 0.00 0.00 0.00 0.00 0.00 0.00
obs RMSE 0.25 0.28 0.00 0.00 0.00 0.01 0.00 0.00 0.00
obs KGE 0.72 0.81 1.00 1.00 1.00 1.00 1.00 1.00 1.00
sim_1 MAE 0.06 0.08 1.46 49.16 18.35 0.08 1.35 1.14 0.70
sim_1 RMSE 0.36 0.42 1.98 75.26 22.10 0.13 2.23 1.74 1.05
sim_1 KGE 0.40 0.44 0.94 0.95 0.92 0.81 0.58 0.68 0.80
sim_2 MAE 0.07 0.09 1.89 53.49 25.23 0.10 0.93 1.07 1.07
sim_2 RMSE 0.38 0.46 2.80 86.55 28.77 0.14 1.60 1.61 1.46
sim_2 KGE 0.39 0.34 0.89 0.96 0.79 0.82 0.77 0.74 0.75
sim_3 MAE 0.07 0.09 1.89 53.49 25.23 0.10 0.93 1.07 1.07
sim_3 RMSE 0.38 0.46 2.80 86.55 28.77 0.14 1.60 1.61 1.46
sim_3 KGE 0.39 0.34 0.89 0.96 0.79 0.82 0.77 0.74 0.75
sim_4 MAE 0.07 0.09 1.82 52.09 22.08 0.08 1.33 1.12 0.68
sim_4 RMSE 0.40 0.46 2.59 80.26 26.13 0.13 2.20 1.70 1.00
sim_4 KGE 0.30 0.35 0.90 0.93 0.89 0.81 0.60 0.70 0.83
sim_5 MAE 0.07 0.09 1.78 53.81 23.61 0.08 1.30 1.10 0.67
sim_5 RMSE 0.40 0.46 2.53 83.45 28.00 0.13 2.15 1.67 0.98
sim_5 KGE 0.30 0.35 0.90 0.92 0.88 0.80 0.62 0.71 0.84
sim_6 MAE 0.07 0.09 1.77 54.55 24.31 0.08 1.30 1.09 0.67
sim_6 RMSE 0.40 0.46 2.51 85.02 29.08 0.13 2.16 1.67 0.99
sim_6 KGE 0.30 0.35 0.90 0.92 0.87 0.80 0.62 0.71 0.84
sim_7 MAE 0.06 0.09 1.76 62.02 26.43 0.07 1.27 1.08 0.74
sim_7 RMSE 0.36 0.47 2.50 100.93 36.20 0.10 2.15 1.66 1.05
sim_7 KGE 0.47 0.44 0.91 0.82 0.83 0.83 0.57 0.66 0.77
sim_8 MAE 0.07 0.09 1.78 53.81 23.61 0.08 1.30 1.10 0.67
sim_8 RMSE 0.40 0.46 2.53 83.45 28.00 0.13 2.15 1.67 0.98
sim_8 KGE 0.30 0.35 0.90 0.92 0.88 0.80 0.62 0.71 0.84

Winter 2006/2007

Here is a comparison plot:

Goodness of fit:

sim gof Psnow_under_canopy.mm. Prain_under_canopy.mm. Tsurface.C. snow_depth.mm. snow_water_equivalent.mm. Albedo tempz0010 tempz0020 tempz0050
obs MAE 0.03 0.06 0.00 0.00 0.00 0.00 0.00 0.00 0.00
obs RMSE 0.25 0.44 0.00 0.00 0.00 0.01 0.00 0.00 0.00
obs KGE 0.70 0.80 1.00 1.00 1.00 1.00 1.00 1.00 1.00
sim_1 MAE 0.07 0.18 1.55 58.21 20.37 0.07 0.96 0.84 0.65
sim_1 RMSE 0.43 0.79 2.06 101.75 25.29 0.12 1.73 1.42 0.93
sim_1 KGE 0.13 0.36 0.83 0.38 0.82 0.86 0.86 0.87 0.88
sim_2 MAE 0.07 0.20 1.87 36.46 17.21 0.19 1.52 1.35 1.33
sim_2 RMSE 0.37 0.82 2.72 63.92 22.07 0.28 2.25 1.91 1.68
sim_2 KGE 0.27 0.29 0.70 0.70 0.80 0.40 0.69 0.72 0.74
sim_3 MAE 0.07 0.20 1.87 36.46 17.21 0.19 1.52 1.35 1.33
sim_3 RMSE 0.37 0.82 2.72 63.92 22.07 0.28 2.25 1.91 1.68
sim_3 KGE 0.27 0.29 0.70 0.70 0.80 0.40 0.69 0.72 0.74
sim_4 MAE 0.08 0.20 1.81 60.75 22.31 0.07 1.00 0.83 0.62
sim_4 RMSE 0.46 0.83 2.50 104.46 27.03 0.12 1.79 1.44 0.92
sim_4 KGE 0.06 0.29 0.78 0.35 0.80 0.85 0.87 0.88 0.89
sim_5 MAE 0.08 0.20 1.77 65.18 28.96 0.07 0.98 0.83 0.61
sim_5 RMSE 0.46 0.83 2.47 112.13 33.77 0.12 1.80 1.46 0.92
sim_5 KGE 0.06 0.29 0.79 0.29 0.73 0.86 0.87 0.88 0.89
sim_6 MAE 0.08 0.20 1.75 67.36 32.95 0.07 0.98 0.82 0.61
sim_6 RMSE 0.46 0.83 2.45 115.51 37.23 0.12 1.81 1.47 0.93
sim_6 KGE 0.06 0.29 0.79 0.27 0.69 0.86 0.87 0.88 0.90
sim_7 MAE 0.06 0.21 1.73 29.93 44.92 0.05 0.84 0.77 0.65
sim_7 RMSE 0.38 0.85 2.43 53.83 52.79 0.07 1.23 1.12 0.89
sim_7 KGE 0.37 0.32 0.78 0.76 0.44 0.93 0.86 0.85 0.84
sim_8 MAE 0.08 0.20 1.77 65.18 28.96 0.07 0.98 0.83 0.61
sim_8 RMSE 0.46 0.83 2.47 112.13 33.77 0.12 1.80 1.46 0.92
sim_8 KGE 0.06 0.29 0.79 0.29 0.73 0.86 0.87 0.88 0.89

Winter 2007/2008

Here is a comparison plot:

Goodness of fit:

sim gof Psnow_under_canopy.mm. Prain_under_canopy.mm. Tsurface.C. snow_depth.mm. snow_water_equivalent.mm. Albedo tempz0010 tempz0020 tempz0050
obs MAE 0.04 0.04 0.00 0.00 0.00 0.00 0.00 0.00 0.00
obs RMSE 0.32 0.29 0.00 0.00 0.00 0.01 0.00 0.00 0.00
obs KGE 0.77 0.83 1.00 1.00 1.00 1.00 1.00 1.00 1.00
sim_1 MAE 0.09 0.10 1.68 173.70 68.12 0.09 0.99 0.83 0.60
sim_1 RMSE 0.44 0.47 2.35 228.65 72.73 0.14 2.18 1.82 1.24
sim_1 KGE 0.48 0.49 0.69 0.50 0.74 0.80 0.82 0.88 0.92
sim_2 MAE 0.09 0.11 1.98 218.79 98.22 0.10 1.42 1.29 1.36
sim_2 RMSE 0.47 0.50 2.78 278.55 103.00 0.15 2.69 2.36 2.03
sim_2 KGE 0.46 0.40 0.68 0.37 0.63 0.80 0.54 0.58 0.59
sim_3 MAE 0.09 0.11 1.98 218.79 98.22 0.10 1.42 1.29 1.36
sim_3 RMSE 0.47 0.50 2.78 278.55 103.00 0.15 2.69 2.36 2.03
sim_3 KGE 0.46 0.40 0.68 0.37 0.63 0.80 0.54 0.58 0.59
sim_4 MAE 0.10 0.11 2.00 186.14 75.06 0.09 1.04 0.86 0.64
sim_4 RMSE 0.49 0.51 2.81 242.24 79.62 0.15 2.27 1.89 1.31
sim_4 KGE 0.41 0.41 0.67 0.47 0.72 0.79 0.81 0.86 0.90
sim_5 MAE 0.10 0.11 1.94 190.65 79.20 0.09 1.04 0.87 0.65
sim_5 RMSE 0.49 0.51 2.74 247.18 83.94 0.15 2.29 1.92 1.34
sim_5 KGE 0.41 0.41 0.68 0.45 0.70 0.78 0.80 0.86 0.89
sim_6 MAE 0.10 0.11 1.93 193.21 81.43 0.09 1.05 0.87 0.65
sim_6 RMSE 0.49 0.51 2.73 249.93 86.21 0.15 2.30 1.93 1.35
sim_6 KGE 0.41 0.41 0.68 0.45 0.70 0.78 0.80 0.86 0.89
sim_7 MAE 0.08 0.12 1.91 56.26 32.08 0.07 0.74 0.65 0.47
sim_7 RMSE 0.45 0.53 2.71 81.27 38.76 0.10 1.24 1.09 0.72
sim_7 KGE 0.55 0.47 0.69 0.97 0.77 0.88 0.83 0.84 0.89
sim_8 MAE 0.10 0.11 1.94 190.65 79.20 0.09 1.04 0.87 0.65
sim_8 RMSE 0.49 0.51 2.74 247.18 83.94 0.15 2.29 1.92 1.34
sim_8 KGE 0.41 0.41 0.68 0.45 0.70 0.78 0.80 0.86 0.89

Winter 2008/2009

Here is a comparison plot:

Goodness of fit:

sim gof Psnow_under_canopy.mm. Prain_under_canopy.mm. Tsurface.C. snow_depth.mm. snow_water_equivalent.mm. Albedo tempz0010 tempz0020 tempz0050
obs MAE 0.03 0.02 0.00 0.00 0.00 0.00 0.00 0.00 0.00
obs RMSE 0.24 0.20 0.00 0.00 0.00 0.01 0.00 0.00 0.00
obs KGE 0.74 0.92 1.00 1.00 1.00 1.00 1.00 1.00 1.00
sim_1 MAE 0.06 0.08 1.43 66.87 35.07 0.06 0.69 0.64 0.55
sim_1 RMSE 0.33 0.45 1.97 112.51 54.74 0.09 0.96 0.96 0.78
sim_1 KGE 0.47 0.59 0.85 0.88 0.73 0.87 0.89 0.86 0.85
sim_2 MAE 0.06 0.09 1.82 60.05 25.47 0.13 1.35 1.13 1.25
sim_2 RMSE 0.34 0.48 2.55 90.57 35.98 0.19 1.95 1.56 1.49
sim_2 KGE 0.47 0.51 0.82 0.96 0.85 0.72 0.66 0.71 0.70
sim_3 MAE 0.06 0.09 1.82 60.05 25.47 0.13 1.35 1.13 1.25
sim_3 RMSE 0.34 0.48 2.55 90.57 35.98 0.19 1.95 1.56 1.49
sim_3 KGE 0.47 0.51 0.82 0.96 0.85 0.72 0.66 0.71 0.70
sim_4 MAE 0.07 0.09 1.82 63.43 31.64 0.06 0.73 0.64 0.53
sim_4 RMSE 0.37 0.49 2.52 104.30 50.86 0.09 1.06 0.94 0.73
sim_4 KGE 0.39 0.52 0.81 0.90 0.75 0.87 0.90 0.88 0.87
sim_5 MAE 0.07 0.09 1.79 61.20 29.53 0.06 0.70 0.61 0.51
sim_5 RMSE 0.37 0.49 2.49 100.75 47.63 0.09 0.99 0.89 0.70
sim_5 KGE 0.39 0.52 0.81 0.91 0.77 0.86 0.90 0.89 0.88
sim_6 MAE 0.07 0.09 1.79 59.79 28.13 0.06 0.70 0.61 0.51
sim_6 RMSE 0.37 0.49 2.48 98.27 45.53 0.09 0.99 0.88 0.70
sim_6 KGE 0.39 0.52 0.81 0.91 0.78 0.86 0.90 0.89 0.88
sim_7 MAE 0.06 0.10 1.76 77.73 51.91 0.06 0.69 0.62 0.50
sim_7 RMSE 0.35 0.49 2.45 140.81 72.10 0.08 1.03 0.95 0.74
sim_7 KGE 0.48 0.55 0.83 0.78 0.64 0.86 0.90 0.87 0.86
sim_8 MAE 0.07 0.09 1.79 61.20 29.53 0.06 0.70 0.61 0.51
sim_8 RMSE 0.37 0.49 2.49 100.75 47.63 0.09 0.99 0.89 0.70
sim_8 KGE 0.39 0.52 0.81 0.91 0.77 0.86 0.90 0.89 0.88

Winter 2009/2010

Here is a comparison plot:

Goodness of fit:

sim gof Psnow_under_canopy.mm. Prain_under_canopy.mm. Tsurface.C. snow_depth.mm. snow_water_equivalent.mm. Albedo tempz0010 tempz0020 tempz0050
obs MAE 0.03 0.05 0.00 0.00 0.00 0.00 0.00 0.00 0.00
obs RMSE 0.23 0.32 0.00 0.00 0.00 0.01 0.00 0.00 0.00
obs KGE 0.78 0.83 1.00 1.00 1.00 1.00 1.00 1.00 1.00
sim_1 MAE 0.07 0.11 1.71 42.53 15.25 0.06 0.95 0.81 0.52
sim_1 RMSE 0.39 0.53 2.27 70.34 17.42 0.10 1.61 1.33 0.82
sim_1 KGE 0.34 0.48 0.84 0.86 0.92 0.89 0.79 0.80 0.86
sim_2 MAE 0.08 0.12 2.04 65.03 16.57 0.15 1.04 0.87 1.01
sim_2 RMSE 0.41 0.59 2.82 99.03 20.53 0.23 1.66 1.40 1.39
sim_2 KGE 0.31 0.37 0.80 0.75 0.93 0.64 0.74 0.78 0.75
sim_3 MAE 0.08 0.12 2.04 65.03 16.57 0.15 1.04 0.87 1.01
sim_3 RMSE 0.41 0.59 2.82 99.03 20.53 0.23 1.66 1.40 1.39
sim_3 KGE 0.31 0.37 0.80 0.75 0.93 0.64 0.74 0.78 0.75
sim_4 MAE 0.08 0.12 1.99 44.86 15.22 0.07 0.94 0.78 0.47
sim_4 RMSE 0.44 0.60 2.75 74.39 17.53 0.10 1.63 1.30 0.75
sim_4 KGE 0.23 0.37 0.83 0.84 0.93 0.89 0.80 0.82 0.89
sim_5 MAE 0.08 0.12 1.96 47.64 14.02 0.07 0.92 0.76 0.46
sim_5 RMSE 0.44 0.60 2.70 78.76 16.90 0.10 1.60 1.27 0.73
sim_5 KGE 0.23 0.37 0.83 0.83 0.94 0.88 0.81 0.83 0.90
sim_6 MAE 0.08 0.12 1.96 47.99 13.69 0.07 0.92 0.75 0.46
sim_6 RMSE 0.44 0.60 2.69 79.29 16.91 0.10 1.59 1.26 0.73
sim_6 KGE 0.23 0.37 0.84 0.82 0.95 0.88 0.81 0.83 0.90
sim_7 MAE 0.07 0.13 1.96 32.97 38.15 0.06 0.94 0.82 0.51
sim_7 RMSE 0.41 0.60 2.70 55.81 47.48 0.09 1.59 1.34 0.76
sim_7 KGE 0.38 0.41 0.82 0.90 0.73 0.88 0.77 0.78 0.85
sim_8 MAE 0.08 0.12 1.96 47.64 14.02 0.07 0.92 0.76 0.46
sim_8 RMSE 0.44 0.60 2.70 78.76 16.90 0.10 1.60 1.27 0.73
sim_8 KGE 0.23 0.37 0.83 0.83 0.94 0.88 0.81 0.83 0.90

Winter 2010/2011

Here is a comparison plot:

Goodness of fit:

sim gof Psnow_under_canopy.mm. Prain_under_canopy.mm. Tsurface.C. snow_depth.mm. snow_water_equivalent.mm. Albedo tempz0010 tempz0020 tempz0050
obs MAE 0.02 0.04 0.00 0.00 0.00 0.00 0.00 0.00 0.00
obs RMSE 0.18 0.33 0.00 0.00 0.00 0.01 0.00 0.00 0.00
obs KGE 0.78 0.83 1.00 1.00 1.00 1.00 1.00 1.00 1.00
sim_1 MAE 0.05 0.11 2.10 108.04 39.30 0.08 1.33 1.12 0.82
sim_1 RMSE 0.30 0.57 2.71 156.99 55.54 0.15 2.45 2.02 1.53
sim_1 KGE 0.29 0.49 0.72 0.30 0.35 0.80 0.80 0.86 0.90
sim_2 MAE 0.05 0.13 2.53 132.29 53.02 0.15 1.58 1.42 1.58
sim_2 RMSE 0.26 0.61 3.30 192.65 72.80 0.22 2.59 2.30 2.22
sim_2 KGE 0.43 0.40 0.72 0.13 0.14 0.64 0.64 0.67 0.63
sim_3 MAE 0.05 0.13 2.53 132.29 53.02 0.15 1.58 1.42 1.58
sim_3 RMSE 0.26 0.61 3.30 192.65 72.80 0.22 2.59 2.30 2.22
sim_3 KGE 0.43 0.40 0.72 0.13 0.14 0.64 0.64 0.67 0.63
sim_4 MAE 0.06 0.13 2.45 118.39 42.56 0.09 1.38 1.13 0.83
sim_4 RMSE 0.32 0.62 3.17 170.92 60.16 0.15 2.52 2.06 1.59
sim_4 KGE 0.23 0.40 0.70 0.22 0.30 0.79 0.80 0.86 0.88
sim_5 MAE 0.06 0.13 2.44 120.66 44.47 0.09 1.38 1.12 0.83
sim_5 RMSE 0.32 0.62 3.15 174.23 63.06 0.15 2.52 2.07 1.61
sim_5 KGE 0.23 0.40 0.69 0.21 0.26 0.79 0.80 0.86 0.88
sim_6 MAE 0.06 0.13 2.44 121.96 45.04 0.09 1.38 1.12 0.83
sim_6 RMSE 0.32 0.62 3.15 176.18 64.04 0.15 2.53 2.07 1.62
sim_6 KGE 0.23 0.40 0.68 0.20 0.24 0.78 0.80 0.86 0.88
sim_7 MAE 0.05 0.13 2.42 75.23 27.78 0.06 1.11 0.90 0.64
sim_7 RMSE 0.28 0.62 3.13 112.34 35.66 0.11 2.01 1.58 1.15
sim_7 KGE 0.48 0.43 0.70 0.55 0.61 0.86 0.85 0.89 0.94
sim_8 MAE 0.06 0.13 2.44 120.66 44.47 0.09 1.38 1.12 0.83
sim_8 RMSE 0.32 0.62 3.15 174.23 63.06 0.15 2.52 2.07 1.61
sim_8 KGE 0.23 0.40 0.69 0.21 0.26 0.79 0.80 0.86 0.88

References

Endrizzi, S., S. Gruber, M. Dall’Amico, and R. Rigon. 2014. “GEOtop 2.0: Simulating the Combined Energy and Water Balance at and Below the Land Surface Accounting for Soil Freezing, Snow Cover and Terrain Effects.” Geoscientific Model Development 7 (6): 2831–57. https://doi.org/10.5194/gmd-7-2831-2014.

Morin, S., Y. Lejeune, B. Lesaffre, J.-M. Panel, D. Poncet, P. David, and M. Sudul. 2012. “An 18-Yr Long (1993–2011) Snow and Meteorological Dataset from a Mid-Altitude Mountain Site (Col de Porte, France, 1325 M Alt.) for Driving and Evaluating Snowpack Models.” Earth System Science Data 4 (1): 13–21. https://doi.org/10.5194/essd-4-13-2012.